Job Description

JOB DESCRIPTION

C11 Fraud Risk – Fraud Model Development+ Acquisition

 

Job Description:
  • Client is looking for an energetic, motivated professional to join its Fraud Analytics team as fraud risk specialist. In this role, you will be facing off against intelligent, adaptive perpetrators of financial crime and manage strategic risk analytical projects for multiple Client's portfolios
Primary responsibilities include:
  • Analysis of customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies
  • Review existing fraud logic, rules and processes to ensure understanding of current rules and complexity; rationalize existing processes and have the ability to visualize process enhancements
  • Lead and recommend process/logic change to drive efficiency and enhance customer experience
  • Drive the end to end testing approach – including test case documentation, review and monitoring of rule performance, fine-tune rules – and strategy implementation  
  • Perform gap analysis to identify system weaknesses and mitigating measures
  • Complete Strategy Change approval for Fraud Oversight. Adhering to expected timelines and attention to details highly critical
  • Periodic review of MIS reports and communication of fraud results internally and to the business
  • Work with various stakeholders during strategy development and conversion efforts to identify and fulfill data/analytical needs; develop comprehensive transition plan
  • The position requires substantial interaction with Fraud Policy, Fraud Operations, Client Development and other functional business partners to optimize and execute business strategies. Must be able to effectively provide updates and communicate key initiatives

  

Qualifications
 
  • Bachelor’s degree in Statistics, Economics, Finance, Mathematics or a related quantitative field
  • Engineering /MBA background from a premier institute
  • Minimum 9+ years of credit cards related experience, or 6+ years of hands-on analytical experience
  • Minimum 6+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages:  SAS (preferred) SPSS, or equivalent
  • Experience in fraud strategy/processes and/or fraud analytics is a plus  
  • Successful candidate will have a demonstrable analytic, problem solving, and leadership skills, and has the ability to deliver projects in a fast-paced environment
  • Ability to manage multiple initiatives simultaneously
  • Strong verbal and written communication skills; experience with stakeholder management